{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 用 Python 画折线图"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. 初始设置\n",
    "\n",
    "首先，导入所需的库，并设置中文字体和定义颜色等。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 导入所需的库\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import timedelta\n",
    "\n",
    "# 正常显示中文标签\n",
    "mpl.rcParams['font.sans-serif'] = ['SimHei']\n",
    "\n",
    "# 自动适应布局\n",
    "mpl.rcParams.update({'figure.autolayout': True})\n",
    "\n",
    "# 正常显示负号\n",
    "mpl.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 定义颜色，主色：蓝色，辅助色：灰色，互补色：橙色\n",
    "colors = {'蓝色':'#00589F', '深蓝色':'#003867', '浅蓝色':'#5D9BCF',\n",
    "          '灰色':'#999999', '深灰色':'#666666', '浅灰色':'#CCCCCC',\n",
    "          '橙色':'#F68F00', '深橙色':'#A05D00', '浅橙色':'#FBC171'}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 读取数据\n",
    "\n",
    "其次，从 Excel 文件中读取随机模拟的数据，并定于画图用的数据。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据源路径\n",
    "filepath='./data/2019年9月每日销售.xlsx'\n",
    "\n",
    "# 读取 Excel文件\n",
    "df = pd.read_excel(filepath)\n",
    "\n",
    "# 定义画图用的数据\n",
    "x = [x.strftime('%m-%d') for x in df.日期]\n",
    "y = df.实际销量"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. 开始画图\n",
    "\n",
    "接下来，开始用「**面向对象**」的方法进行画图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 使用「面向对象」的方法画图，定义图片的大小\n",
    "fig, ax=plt.subplots(figsize=(10, 6))\n",
    "\n",
    "# 设置标题\n",
    "ax.text(-3.9, y.max()+6, '\\n2019年9月每天产品销量的变化趋势\\n', fontsize=26, color=colors['深灰色'])\n",
    "\n",
    "# 绘制折线图\n",
    "ax.plot(x, y, marker='o', color=colors['蓝色'], markevery=[y.idxmin(), y.idxmax()], mfc='w')\n",
    "\n",
    "# 标注最大值对应的事件\n",
    "ax.annotate('打折促销', xy=(x[y.idxmax()], y.max()), color=colors['蓝色'],\n",
    "             xytext=(y.idxmax()-4.2, y.max()), \n",
    "             arrowprops=dict(arrowstyle='->', color=colors['蓝色']), fontsize=16)\n",
    "\n",
    "# 标注最小值对应的事件\n",
    "ax.annotate('中秋节', xy=(x[y.idxmin()], y.min()), color=colors['深灰色'],\n",
    "             xytext=(y.idxmin()-3.6, y.min()), \n",
    "             arrowprops=dict(arrowstyle='->', color=colors['深灰色']), fontsize=16)\n",
    "\n",
    "# 计算 7 天移动平均\n",
    "y2 = y.rolling(7).mean()\n",
    "# 绘制趋势线\n",
    "ax.plot(x, y2, ls='-', color=colors['灰色'], label='七天移动平均')\n",
    "# 绘制趋势线末端的箭头\n",
    "plt.annotate('', xy=(x[-1:], y2[-1:]), xytext=(x[-2:-1], y2[-2:-1]), \n",
    "             arrowprops=dict(arrowstyle='->', color=colors['灰色'], shrinkB=0))\n",
    "# 文字说明移动平均\n",
    "ax.text(len(x)-7.8, y2[-8:-7], '七天移动平均', color=colors['深灰色'], fontsize=12, bbox=dict(facecolor='w', edgecolor='w'))\n",
    "\n",
    "# 隐藏边框\n",
    "ax.spines['top'].set_visible(False)\n",
    "ax.spines['right'].set_visible(False)\n",
    "ax.spines['bottom'].set_color(colors['灰色'])\n",
    "ax.spines['left'].set_color(colors['灰色'])\n",
    "\n",
    "# 隐藏 X 轴的刻度线\n",
    "ax.tick_params(axis='x', which='major', length=0)\n",
    "\n",
    "# 设置 X 轴显示的标签\n",
    "xt = []\n",
    "for i in np.arange(len(x)):\n",
    "    if i % 5 == 0:\n",
    "        xt.append(x[i])\n",
    "    else:\n",
    "        xt.append('')\n",
    "xt[-1] = x[-1]\n",
    "ax.set_xticklabels(xt, ha='left')\n",
    "\n",
    "# 设置 X、Y 轴的标题，适当留白\n",
    "ax.text(-0.1, -5, '日期', ha='left', fontsize=16, color=colors['深灰色'])\n",
    "ax.text(-3.9, y.max()+6.8, '产\\n品\\n销\\n量', va='top', fontsize=16, color=colors['深灰色'])\n",
    "\n",
    "# 设置坐标标签字体大小和颜色\n",
    "ax.tick_params(labelsize=16, colors=colors['深灰色'])\n",
    "\n",
    "# 设置 y 轴的刻度范围\n",
    "ax.set_ylim(0, y.max()+6)\n",
    "\n",
    "plt.show()"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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